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Face Liveness Detection Using a Light Field Camera

A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (h...

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Detalles Bibliográficos
Autores principales: Kim, Sooyeon, Ban, Yuseok, Lee, Sangyoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299023/
https://www.ncbi.nlm.nih.gov/pubmed/25436651
http://dx.doi.org/10.3390/s141222471
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author Kim, Sooyeon
Ban, Yuseok
Lee, Sangyoun
author_facet Kim, Sooyeon
Ban, Yuseok
Lee, Sangyoun
author_sort Kim, Sooyeon
collection PubMed
description A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (hereinafter 2D photos) and HD tablet images, using the light field camera. By viewing the raw light field photograph from a different standpoint, we extract two special features which cannot be obtained from the conventional camera. To verify the performance, we compose light field photograph databases and conduct experiments. Our proposed method achieves at least 94.78% accuracy or up to 99.36% accuracy under different types of spoofing attacks.
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spelling pubmed-42990232015-01-26 Face Liveness Detection Using a Light Field Camera Kim, Sooyeon Ban, Yuseok Lee, Sangyoun Sensors (Basel) Article A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (hereinafter 2D photos) and HD tablet images, using the light field camera. By viewing the raw light field photograph from a different standpoint, we extract two special features which cannot be obtained from the conventional camera. To verify the performance, we compose light field photograph databases and conduct experiments. Our proposed method achieves at least 94.78% accuracy or up to 99.36% accuracy under different types of spoofing attacks. MDPI 2014-11-27 /pmc/articles/PMC4299023/ /pubmed/25436651 http://dx.doi.org/10.3390/s141222471 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Sooyeon
Ban, Yuseok
Lee, Sangyoun
Face Liveness Detection Using a Light Field Camera
title Face Liveness Detection Using a Light Field Camera
title_full Face Liveness Detection Using a Light Field Camera
title_fullStr Face Liveness Detection Using a Light Field Camera
title_full_unstemmed Face Liveness Detection Using a Light Field Camera
title_short Face Liveness Detection Using a Light Field Camera
title_sort face liveness detection using a light field camera
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299023/
https://www.ncbi.nlm.nih.gov/pubmed/25436651
http://dx.doi.org/10.3390/s141222471
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